Q592E4 AF NFT

Cortexin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieaankwjphkzd224kx3ed5g7hqcri6ebubqtpp7uqfrfp77etdsiq/metadata.json
IPFS of structure file: 
bafybeif47k63rpwk24nni5o5tuobrn6thfvtfphdk7klbu3gdhuu2a3oly/AF-Q592E4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf9C910e50AbE9FCD1E82a7E445FE284ADDE9f615
First NFT owner address (bech32): 
genesis1l8y3peg2h60u685z5ljytl3gftw7nas42dhhvx
Current NFT ID #80693 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
80693
Accession (UniProt):
Q592E4
Name::
Cortexin-2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q592E4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q592E4|CTXN2_DANRE Cortexin-2 OS=Danio rerio OX=7955 GN=ctxn2 PE=3 SV=1 MCSVHYNHSLAAMSGSDIMAYSLSLEQKTAFAFVGMLLVFLGLLIVRCFRILLDPYSSMPSSSWGDGLEGLEKGTFEYALT